IRG Activity Report Date of Submission: 21 / 06 /2011 1. IRG code and name of IRG 1) IRG code: IRG - 14 - 2009 2) Name of IRG Platform for Transport and Environment Information (PTEI) 2. List of research members Mr Branko Stazic Dr Nikolaos Vogiatzis Dr Wen long Yue Dr Sadasivam Karuppannan Dr Sekhar Somenahalli Professor Huang Huixian Professor Yang Huixian 3. Purpose and Mission of IRG Adaptive computer controlled traffic management systems are used to monitor and control traffic signals all around the world. The Sydney Coordinated Adaptive Traffic System (SCATS) was developed in 1970s and has demonstrated great benefits for isolated and area linked signalised intersection controls[1, 2]. These systems also collect and store extremely large amounts of data that can be useful input to the transportation planning and management process [3-7]. The development of a traffic data abstraction layer would enable effective and efficient data handling and represent an important tool that would help transportation professionals in making better traffic management and planning decisions. At the core of this IRG, is the use of traffic signalling data collected by implementations of SCATS, one of the world’s leading intersection traffic management systems, which is used in many countries in East Asia, including China, Australia, Hong Kong, Indonesia, Malaysia, Singapore, New Zealand and Philippines. SCATS produces numerous ‘log’ files which are typically read using the SCATS Traffic Reporter application provided by the developers[7]. This tool allows traffic signalling engineers and practitioners an “off-line” tool for quick and simple access to the rich data stored within, however it does have some limitations including the inability to easily produce time series reports of intersection and network performance. The developers of SCATS have supported researchers from the Institute for Sustainable Systems Technologies – Transport Systems (ISST-TS) at the University of South Australia to develop a long-range signalling system analysis tool by providing the necessary log file protocols that allow for the independent processing of the from a binary computer efficient format into a human readable format capable of being loaded into a database management system.